Journal Publications
Wang, J., Liu, J., Lu, Y.*, Li, H., & Zhang, X. (2024). Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation. Engineering Applications of Artificial Intelligence, 133, 108385.
Zhu, T., Zheng, Q., & Lu, Y.* (2024). Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity. Journal of Computing and Information Science in Engineering, 1-28.
Lu, Y.*, Wang, Y., & Pan, L. (2023). A feature-based physics-constrained active dictionary learning scheme for image-based additive manufacturing process monitoring. Journal of Manufacturing Processes, 103, 261-273.
Katakol, S., Baker, T. J., Bian, Z., Lu, Y., Spahlinger, G., Hatt, C. R., & Burris, N. S. (2023). Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network. Journal of Medical Imaging, 10(5), 051810-051810.
Malashkhia, L., Liu, D., Lu, Y., & Wang, Y. (2023). Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction. Journal of Computing and Information Science in Engineering, 23(1), 011012.
Lu, Y., & Wang, Y. (2022). Structural optimization of metamaterials based on periodic surface modeling. Computer Methods in Applied Mechanics and Engineering, 395, 115057.
Lu, Y., & Wang, Y. (2021) Physics Based Compressive Sensing to Monitor Temperature and Melt Flow in Laser Powder Bed Fusion, Additive Manufacturing, 47, 102304.
Lu, Y., Shevtshenko, E. & Wang, Y. (2021) Physics Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes, Journal of Computing and Information Science in Engineering, 21(3), 031009.
Lu, Y., & Wang, Y. (2020) A Physics-Constrained Dictionary Learning Approach for Compression of Vibration Signals, Mechanical Systems and Signal Processing, 153, 107434.
Lu, Y., & Wang, Y. (2020). Physics Based Compressive Sensing Approach to Monitor Turbulent Flow. AIAA journal, 58(8), 3299-3307.
Lu, Y., & Wang, Y. (2019). An efficient transient temperature monitoring of fused filament fabrication process with physics-based compressive sensing. IISETransactions, 51(2), 168-180.
Lu, Y., & Wang, Y. (2018). Monitoring temperature in additive manufacturing with physics-based compressive sensing. Journalofmanufacturingsystems, 48, 60-70.
Chan, S. L., Lu, Y., & Wang, Y. (2018). Data-driven cost estimation for additive manufacturing in cybermanufacturing. Journalofmanufacturingsystems, 46, 115-126.
Refereed Conference Publications
Lu, Y.*, and Wang, Y. “Active Physics-Constrained Dictionary Learning to Diagnose Nozzle Conditions in Fused Filament Fabrication Process”, 51st SME North American Manufacturing Research Conference, June 12-16, 2023, New Brunswick, New Jersey.
Hong, S., Lu. Y., Dunninga, R., Ahn, S., and Wang, Y. “Adaptive Fusion based on Physics-Constrained Dictionary Learning for Fault Diagnosis of Rotating Machinery”, 51st SME North American Manufacturing Research Conference, June 12-16, 2023, New Brunswick, New Jersey.
Katakol, S., Bian, Z., Lu, Y., Spahlinger, G., Hatt, C. R., and Burris, N. S. “Fully automated aortic measurements via CNN-based joint segmentation and localization.” In Medical Imaging 2023: Computer-Aided Diagnosis (Vol. 12465, pp. 248-252). SPIE, Feb. 19-23, 2023, San Diego, California, USA.
Lu. Y., and Wang, Y. “Temperature Field Monitoring in Fused Filament Fabrication Process Based on Physics-Constrained Dictionary Learning.” Proceedings of the ASME 2022 International Additive Manufacturing Conference, Oct. 19-20, 2022 Lisbon, Portugal.
Lu. Y., and Wang, Y. “Concurrent Shape and Topology Optimization of Metamaterials Based on Periodic Surface Modeling.” Proceedings of the ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Aug. 14-17, 2022, St. Louis, Missouri.
Bian, Z., Zhong, J., Lu. Y., Hatt, C., and Burris, N. “LitCall: Learning Implicit Topology for CNN-based Aortic Landmark Localization.” Proceedings of Medical Imaging 2022, Feb. 20-23, 2022, San Diego, California.
Lu, Y., and Wang, Y. “Machine Fault Diagnosis of Fused Filament Fabrication Process with Physics-Constrained Dictionary Learning.” Proceedings of 49th Annual North American Manufacturing Research Conference (NAMRC 49), June 21-25, 2021, Cincinnati, Ohio.
Lu, Y., and Wang, Y. “Physics-Constrained Dictionary Learning for Selective Laser Melting Process Monitoring.” Proceedings of the 2021 IISE Annual Conference, May 22-25, 2021.
Lu Y. and Wang Y. “An improvement of physics based compressive sensing with domain decomposition to monitor temperature in fused filament fabrication process.” Proceedings of 2019 ASME 14th International Manufacturing Science and Engineering Conference (MSEC2019), June 10-14, 2019, Erie, Pennsylvania, Paper No. MSEC2019-2899.
Song R., Lu Y., Telenko C., and Wang Y. “Manufacturing energy consumption estimation using machine learning approach.” Proceedings of 2017 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2017), Aug. 6-9, 2017, Cleveland, Ohio, Presentation No. DETC2017-67679 (Design for Manufacturing and Life Cycle Conference Student Poster Competition Award 2nd Place)
Liu J., Hu Y., Lu Y., Wang Y., Xiao L., and Zheng K. “A remote health condition monitoring system based on compressed sensing.” Proceedings of 2017 IEEE International Conference on Mechanical, Systems and Control Engineering (ICMSC 2017), May 19-21, 2017, St. Petersburg, Russia.
Refereed Book Chapters
Sestito J.M., Liu D., Lu Y., Song J.-H., Tran A.V., Kempner M.J., Harris T.A.L., Ahn S.- H., and Wang Y. (2021) Multiscale process modeling of shape memory alloy fabrication with directed energy deposition. Manufacturing in the Era of 4th Industrial Revolution – Vol. 1. Recent Advances in Additive Manufacturing, eds. by H. Bruck, Y. Chen, and S.K. Gupta (World Scientific), Ch.3, pp. 41-76.
Patents